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HPDC
1998
IEEE
14 years 1 months ago
High-Speed, Wide Area, Data Intensive Computing: A Ten Year Retrospective
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing largescale computation. The...
William E. Johnston
HCW
1999
IEEE
14 years 1 months ago
A Unified Resource Scheduling Framework for Heterogeneous Computing Environments
A major challenge in Metacomputing Systems (Computational Grids) is to effectively use their shared resources, such as compute cycles, memory, communication network, and data repo...
Ammar H. Alhusaini, Viktor K. Prasanna, Cauligi S....
IPPS
2002
IEEE
14 years 2 months ago
Scheduling Multiple Data Visualization Query Workloads on a Shared Memory Machine
Query scheduling plays an important role when systems are faced with limited resources and high workloads. It becomes even more relevant for servers applying multiple query optimi...
Henrique Andrade, Tahsin M. Kurç, Alan Suss...
PDP
2010
IEEE
14 years 1 months ago
Distributed Scheduler of Workflows with Deadlines in a P2P Desktop Grid
Scheduling large amounts of tasks in distributed computing platforms composed of millions of nodes is a challenging goal, even more in a fully decentralized way and with low overhe...
Javier Celaya, Unai Arronategui
CLOUDCOM
2010
Springer
13 years 7 months ago
Bag-of-Tasks Scheduling under Budget Constraints
Commercial cloud offerings, such as Amazon's EC2, let users allocate compute resources on demand, charging based on reserved time intervals. While this gives great flexibilit...
Ana-Maria Oprescu, Thilo Kielmann